Abstract:?Groundwater is an important natural resource in a region, and the data of groundwater level can offer significant references for studying the long-term changes of groundwater. This dataset consists of groundwater level data recorded manually from June 2012 to December 2016 at National Observation and Research Station for Forest Ecosystem in Shennongjia, Hubei, China (also known as Shennongjia Biodiversity Research Station of Chinese Academy of Sciences, SNF for short), with a total of 1,675 entries. In order to facilitate users to understand the general situation of groundwater level of this site, such as average depth and its changes, we calculated the mean value, standard deviation, accumulated monthly dynamics, annual variation and trend of the groundwater level depth. A groundwater well was set up in the tree garden of SNF at an altitude of 1,290 m. The distance from the level of groundwater to the ground plane was measured at 8:00 p.m. every day. Preliminary analysis shows that the groundwater level of SNF has a downward trend. However, the precipitation during the same period has not decreased, but slightly increased. The causes of the decline in the groundwater level of SNF are subject to long-term observation and further in-depth analysis.
Keywords:?groundwater level;?north subtropical;?SNF